{"id":"https://openalex.org/W4409991124","doi":"https://doi.org/10.1109/tkde.2025.3566270","title":"AdaE: Knowledge Graph Embedding With Adaptive Embedding Sizes","display_name":"AdaE: Knowledge Graph Embedding With Adaptive Embedding Sizes","publication_year":2025,"publication_date":"2025-05-01","ids":{"openalex":"https://openalex.org/W4409991124","doi":"https://doi.org/10.1109/tkde.2025.3566270"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2025.3566270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3566270","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083502012","display_name":"Zhanpeng Guan","orcid":"https://orcid.org/0009-0000-6024-921X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanpeng Guan","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0000-6024-921X","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072166761","display_name":"Fuwei Zhang","orcid":"https://orcid.org/0000-0002-7711-866X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuwei Zhang","raw_affiliation_strings":["Institute of Artificial Intelligence, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7711-866X","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422985","display_name":"Zhao Zhang","orcid":"https://orcid.org/0000-0001-6680-160X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Zhang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6680-160X","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041921496","display_name":"Fuzhen Zhuang","orcid":"https://orcid.org/0000-0001-9170-7009"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuzhen Zhuang","raw_affiliation_strings":["Institute of Artificial Intelligence, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9170-7009","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455817","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0002-3282-0535"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Wang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3282-0535","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055016576","display_name":"Zhulin An","orcid":"https://orcid.org/0000-0002-7593-8293"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhulin An","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7593-8293","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103245119","display_name":"Yongjun Xu","orcid":"https://orcid.org/0000-0001-6647-0986"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjun Xu","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6647-0986","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04029359,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":"8","first_page":"4432","last_page":"4445"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9541000127792358,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9157000184059143,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7897592782974243},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7299957871437073},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5973819494247437},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46413323283195496},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4276985228061676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3575894236564636}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7897592782974243},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7299957871437073},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5973819494247437},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46413323283195496},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4276985228061676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3575894236564636}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2025.3566270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3566270","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G245388120","display_name":null,"funder_award_id":"62176014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3475847803","display_name":null,"funder_award_id":"62206266","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W1993220166","https://openalex.org/W2022166150","https://openalex.org/W2053724458","https://openalex.org/W2080133951","https://openalex.org/W2081580037","https://openalex.org/W2094728533","https://openalex.org/W2099454382","https://openalex.org/W2112519400","https://openalex.org/W2123458540","https://openalex.org/W2163735391","https://openalex.org/W2184957013","https://openalex.org/W2250184916","https://openalex.org/W2250342289","https://openalex.org/W2283196293","https://openalex.org/W2433281745","https://openalex.org/W2604314403","https://openalex.org/W2728059831","https://openalex.org/W2774837955","https://openalex.org/W2888572441","https://openalex.org/W2891820987","https://openalex.org/W2962886429","https://openalex.org/W2997897037","https://openalex.org/W3024140460","https://openalex.org/W3034609471","https://openalex.org/W3081362488","https://openalex.org/W3082827644","https://openalex.org/W3089606371","https://openalex.org/W3091993229","https://openalex.org/W3120491054","https://openalex.org/W3129998940","https://openalex.org/W3133704791","https://openalex.org/W3154430477","https://openalex.org/W3172478280","https://openalex.org/W3200796517","https://openalex.org/W3210344344","https://openalex.org/W3211527163","https://openalex.org/W4200630919","https://openalex.org/W4226150639","https://openalex.org/W4252707176","https://openalex.org/W4290877092","https://openalex.org/W4292382450","https://openalex.org/W4312772337","https://openalex.org/W4383220144","https://openalex.org/W4384644431","https://openalex.org/W4384648456","https://openalex.org/W4389670098","https://openalex.org/W4393282551","https://openalex.org/W4395021122","https://openalex.org/W4396661911","https://openalex.org/W6608344535","https://openalex.org/W6622957738","https://openalex.org/W6631943919","https://openalex.org/W6631964550","https://openalex.org/W6678830454","https://openalex.org/W6681435938","https://openalex.org/W6691327844","https://openalex.org/W6692170954","https://openalex.org/W6718112784","https://openalex.org/W6729448088","https://openalex.org/W6743495212","https://openalex.org/W6747772516","https://openalex.org/W6752515464","https://openalex.org/W6753701838","https://openalex.org/W6761783306","https://openalex.org/W6762819970","https://openalex.org/W6766225098","https://openalex.org/W6780896692","https://openalex.org/W6785698184","https://openalex.org/W6796595205"],"related_works":["https://openalex.org/W2604454537","https://openalex.org/W2883748392","https://openalex.org/W2897702399","https://openalex.org/W4206028705","https://openalex.org/W2757431232","https://openalex.org/W2808284704","https://openalex.org/W2954554213","https://openalex.org/W2251363251","https://openalex.org/W4206547516","https://openalex.org/W4293236197"],"abstract_inverted_index":{"Knowledge":[0],"Graph":[1],"Embedding":[2],"(KGE)":[3],"aims":[4],"to":[5,82,96,120],"learn":[6],"dense":[7],"embeddings":[8,136],"as":[9],"the":[10,19,26,37,98,170,205],"representations":[11,176],"for":[12,53,65,84,89,101,153,169,197],"entities":[13,20,61,86],"and":[14,49,87,115,177,192,207],"relations":[15],"in":[16,21,36,75,122],"KGs.":[17],"Indeed,":[18],"existing":[22,199],"KGs":[23],"suffer":[24],"from":[25,156],"data":[27],"imbalance":[28],"issue,":[29],"i.e.,":[30,80],"there":[31],"exists":[32],"a":[33,47,69,157],"substantial":[34],"disparity":[35],"occurrence":[38],"frequencies":[39],"among":[40],"various":[41,198],"entities.":[42,181],"Existing":[43],"KGE":[44,105,171,200],"models":[45],"pre-define":[46],"unified":[48],"fixed":[50],"dimension":[51,151],"size":[52,72],"all":[54],"entity":[55,103,155],"embeddings.":[56],"However,":[57,107],"embedding":[58,71,99,111,139,178],"sizes":[59,100,112,140,152,179],"of":[60,78,148,180,209],"are":[62],"highly":[63],"desired":[64],"their":[66],"frequencies,":[67],"while":[68],"uniform":[70],"may":[73],"result":[74],"inadequate":[76],"expression":[77],"entities,":[79],"leading":[81],"overfitting":[83],"low-frequency":[85],"underfitting":[88],"high-frequency":[90],"ones.":[91],"A":[92],"straight-forward":[93],"idea":[94],"is":[95,113,118,146,184,190,195],"set":[97],"each":[102,154],"before":[104],"training.":[106,142],"manually":[108],"selecting":[109,149],"different":[110,138],"labor-intensive":[114],"time-consuming,":[116],"which":[117,132,173,194],"difficult":[119],"achieve":[121],"real-world":[123],"scenarios.":[124],"To":[125,161],"tackle":[126],"this":[127,162],"problem,":[128],"we":[129,164],"propose":[130],"AdaE,":[131],"adaptively":[133],"learns":[134,175],"KG":[135],"with":[137],"during":[141],"In":[143],"particular,":[144],"AdaE":[145],"capable":[147],"appropriate":[150],"continuous":[158],"integer":[159],"space.":[160],"end,":[163],"specially":[165],"tailor":[166],"bilevel":[167],"optimization":[168],"task,":[172],"alternately":[174],"Moreover,":[182],"it":[183],"worth":[185],"noting":[186],"that":[187],"our":[188],"framework":[189],"general":[191],"flexible,":[193],"suitable":[196],"models.":[201],"Extensive":[202],"experiments":[203],"demonstrate":[204],"effectiveness":[206],"compatibility":[208],"AdaE.":[210]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
